Bence Nanay

There are two very different ways of thinking about perception. According to representationalism, perceptual states are representations: they represent the world as being a certain way. They have content, which may or may not be different from the content of beliefs. They represent objects as having properties, sometimes veridically, sometimes not. According to relationalism, perception is a relation between the agent and the perceived object. Perceived objects are literally constituents of our perceptual states and not of the contents thereof. Perceptual states are not representations. My aim is to argue that if we frame this debate as a debate about the individuation of perceptual states, rather than the nature of perception, then we can reconcile these two seemingly conflicting ways of thinking about perception

Wayne Wu argues that attention is necessary for action: since action requires a solution to the ‘Many–Many Problem’, and since only attention can solve the Many–Many Problem, attention is necessary for action. We question the first of these two steps and argue that it is based on an oversimplified distinction between actions and reflexes. We argue for a more complex typology of behaviours where one important category is action that does not require a solution to the Many–Many Problem, and so does not require attention.

It has been argued that the attribution of intentional actions is sensitive to our moral judgment. I will examine these arguments and Suggest an alternative explanation for the experiments they are based on.Joshua Knobe conducted the following experiment to support this claim. Subjects were given two vignettes that differed only in one small detail and this difference influenced their attribution of intentionality. The first vignette was the following:The vice-president of a company went to the chairman of the board and said, ‘We are thinking of starting a new program. It will help us increase profits, but it will also harm the environment.’The chairman of the board answered, ‘I don't care at all about harming the environment. I jus)t want to make as much profit as I can. Let's start the new program.’They started the new program. Sure enough, the environment was harmed.

One of the most influential arguments against the claim that computers can think is that while our intentionality is intrinsic, that of computers is derived: it is parasitic on the intentionality of the programmer who designed the computer-program. Daniel Dennett chose a surprising strategy for arguing against this asymmetry: instead of denying that the intentionality of computers is derived, he endeavours to argue that human intentionality is derived too. I intend to examine that biological plausibility of Dennett’s suggestion and show that Dennett’s argument for the claim that human intentionality is derived because it was designed by natural selection is based on the misunderstanding of how natural selection works.

This commentary is an analysis of how Ullin Place's target article relates to the most important questions in the evolution of language, such as: (1) the relation between the evolution of language and that of "theory of mind"; (2) the question of the role of group structure in human evolution; (3) the evolution of representational capacities needed for language; (4) the selective force of the evolution of language. I argue that not only does Place ignore the problems underlying these issues, but in most cases he also assumes different and sometimes contradictory answers to the questions, weakening his otherwise convincing conclusion.

The focus of this commentary is what Andy Clark takes to be the most groundbreaking of the philosophical import of the ‘bidirectional hierarchical model of brain functions’, namely, the claim that perceptual representations represent probabilities. This is what makes his account Bayesian and this is a philosophical or theoretical conclusion that neuroscientists and psychologists are also quick and happy to draw. My claim is that nothing in the ‘bidirectional hierarchical models of brain functions’ implies that perceptual representations are probabilistic, or that they represent or ‘encode probability density distributions’. There is a much more parsimonious way of describing the representations in the bidirectional hierarchical model of brain functions: they attribute properties to objects (or to the perceived scene) that are not fully determinate.

The aim of teleosemantics is to give a scientifically respectable, or ‘naturalistic’ theory of mental content. In the debates surrounding the scope and merits of teleosemantics a lot has been said about the concept of indication (or carrying information). The aim of this paper is to focus on the other key concept of teleosemantics: biological function. It has been universally accepted in the teleosemantics literature that the account of biological function one should use to flesh out teleosemantics is that of etiological function. My claim is that if we replace this concept of function with an alternative one (that we have independent reasons to accept) and if we also restrict the scope of teleosemantics, we can arrive at an account of biologizing mental content that is much less problematic than the previous attempts.